ClickHouse Raises $400 Million to Expand AI-Focused Data Infrastructure Platform

ClickHouse, a provider of data infrastructure for artificial intelligence systems, raised $400 million in a Series D funding round.

The company will use the new capital to expand its offerings in real-time data analytics, data warehousing, observability, and AI and machine learning, it said in a Friday (Jan. 16) press release.

“As we look toward the future, we are adding support for unified transactional and analytical workloads, so developers can build any type of applications powered by AI on the best technical foundation,” ClickHouse CEO Aaron Katz said in the release. “And we are expanding our offering to include LLM observability, so AI application builders can evaluate the quality and behavior of AI outputs as they move into production.”

ClickHouse said in May that it raised $350 million in Series C financing, which brought its total funding at that time to $650 million. It said in October that it added several new investors in an extension of its Series C financing.

In its Friday press release, the company said that the number of customers it serves on its fully managed service has surpassed 3,000 and that its annual recurring revenue has grown more than 250% year over year.

ClickHouse attributed its growth to the ability of its infrastructure platform to power large-scale, data-intensive production workloads at a time when AI systems are moving from experimentation into production and placing increasing demands on underlying data infrastructure.

Christian Jensen, partner at Dragoneer Investment Group, which led the latest funding round, said in the release that this trend rewards “the infrastructure companies that sit closest to production.”

“As models become more capable, the bottleneck moves to data infrastructure,” Jensen said. “ClickHouse stood out because it delivers the performance, efficiency and reliability required for AI systems operating at scale.”

PYMNTS reported Monday (Jan. 12) that as enterprises scale production AI systems, investors see demand for tools that manage compute constraints, govern sensitive data and apply AI directly to revenue-generating workflows.

On Wednesday (Jan. 14), Neel Kashkari, president and CEO of the Federal Reserve Bank of Minneapolis, said investments in AI and electrical infrastructure have kept the United States economy strong and are expected to continue to do so.